What am I looking at?
When the model predicts a protein’s abundance in a tissue, it looks at other proteins. Attention is how much it looks. Each edge here is one of the strongest of those look-ups across all {{ tissueName }} proteomes; each node is a protein.
Cluster the strongest edges and the islands that appear are complexes and pathways: the ribosome, the proteasome, oxidative phosphorylation, complement. The model was never told any of that. White edges have pair annotations in the reference databases. Grey edges are unannotated relationships: model hypotheses that need validation. Edge details distinguish missing pair annotations from missing database coverage. Partners change between tissues: compare the same protein in brain and liver.
Clustersthe community map: top 3,000 edges, coloured by Leiden community, named by its best KEGG enrichment.
Networkthe raw graph; choose a preset of 500, 1,500, 3,000 or 5,000 strongest edges.
Double-clicka node, or search any of the {{ nProteins }} proteins in this tissue, to see its 25 strongest partners and which databases already know them.
